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Abstract #0819

Exploring the Accuracy of MR Vascular Fingerprinting: Potential Pitfall and Possible Remedy

Mahdi Khajehim1,2, Thomas Christen3, Greg Zaharchuk4, and J. Jean Chen1,2

1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, 3Grenoble Institute of Neurosciences, Inserm, Grenoble, France, 4Radiology, Stanford University, Stanford, CA, United States

MR vascular fingerprinting (MRvF) leverages T2/T2* mapping and the MR fingerprinting (MRF) framework to acquire quantitative information regarding the brain microvascular structure. Using simulations based on a more realistic noise model for the experimental signal, we show that the errors in parameter estimates are indeed, higher than previously thought. Furthermore, by retrospectively undersampling experimental data, we show that we can achieve similar accuracy using only a fraction of the acquired data. Finally, motivated by these facts, we propose that by repeating these reduced MRvF scans, we can highly enhance the accuracy of MRvF parameter estimates.

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